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Filho, DF, Silva, L and Carvalhoa, E (2022). The forensics of fraud: Evidence from the 2018 Brazilian presidential election. Forensic Science International: Synergy, p. 100286.

This work cites the following items of the Benford Online Bibliography:


Beber, B and Scacco, A (2012). What the Numbers Say: A Digit-Based Test for Election Fraud. Political Analysis 20 (2), pp. 211-234. DOI:10.1093/pan/mps003. View Complete Reference Online information Works that this work references Works that reference this work
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Dlugosz, S and Müller-Funk, U (2009). The value of the last digit: statistical fraud detection with digit analysis. Advances in Data Analysis and Classification 3, pp. 281-290. DOI:10.1007/s11634-009-0048-5. View Complete Reference Online information Works that this work references Works that reference this work
Eirado, CRdR, da Silva, GP and Cordeiro, GM (2020). Análise da lei de benford de 2o dígito: Eleições Gerais para Presidente no Brasil e a Votação em Urnas Eletrônicas – 2002 a 2018 [Analysis of the 2nd digit benford law: General Elections for President in Brazil and Voting in Electronic Ballot Boxes – 2002. Revista Brasileira de Estatística 78(243), pp. 7-34. POR View Complete Reference Online information Works that this work references Works that reference this work
Gamermann, D and Antunes, FL (2018). Statistical analysis of Brazilian electoral campaigns via Benford’s law. Physica A: Statistical Mechanics and its Applications 496, pp. 171-188. DOI:10.1016/j.physa.2017.12.120. View Complete Reference Online information Works that this work references Works that reference this work
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Mack, V and Stoetzer, LF (2019). Election fraud, digit tests and how humans fabricate vote counts - An experimental approach. Electoral Studies 58, pp. 31-47 . DOI:10.1016/j.electstud.2018.12.002. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2006). Election Forensics: The Second-digit Benford’s Law Test and Recent American Presidential Elections. Proceedings of the Election Fraud Conference, Salt Lake City, Utah, September 29-30, 2006. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Kalinin, K (2010). Electoral Fraud in Russia: Vote Counts Analysis using Second-digit Mean Tests. Presentation at the 2010 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 22–25. View Complete Reference No online information available Works that this work references Works that reference this work
Pericchi, LR and Torres, DA (2011). Quick anomaly detection by the Newcomb-Benford law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela. Statistical Science 26(4), pp. 502-16. DOI:10.1214/09-STS296. View Complete Reference Online information Works that this work references Works that reference this work